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Conference Paper: Optimization and stabilization of composite service processing in a cloud system

TitleOptimization and stabilization of composite service processing in a cloud system
Authors
KeywordsComposite services
Processing overhead
Proportional-share
Resource contention
Resource sharing schemes
Scheduling policies
Virtual machines
Worst case response time
Issue Date2013
PublisherInstitute of Electrical and Electronics Engineers. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000600
Citation
The IEEE/ACM 21st International Symposium on Quality of Service (IWQoS 2013), Montreal, QC., 3-4 June 2013. In International Workshop on Quality of Service, 2013, p. 1-10 How to Cite?
AbstractWith virtual machines (VM), we design a cloud system aiming to optimize the overall performance, in processing user requests made up of composite services. We address three contributions. (1) We optimize VM resource allocation with a minimized processing overhead subject to task's payment budget. (2) For maximizing the fairness of treatment in a competitive situation, we investigate the best-suited scheduling policy. (3) We devise a resource sharing scheme adjusted based on Proportional-Share model, further mitigating the resource contention. Experiments confirm two points: (1) mean task response time approaches the theoretically optimal value in non-competitive situation; (2) as system runs in short supply, each request could still be processed efficiently as compared to their ideal results. Combining Lightest Workload First (LWF) policy with Adjusted Proportional-Share Model (LWF+APSM) exhibits the best performance. It outperforms others in a competitive situation, by 38% w.r.t. worst-case response time and by 12% w.r.t. fairness of treatment. © 2013 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/189640
ISBN
ISSN

 

DC FieldValueLanguage
dc.contributor.authorDi, Sen_US
dc.contributor.authorKondo, Den_US
dc.contributor.authorWang, CLen_US
dc.date.accessioned2013-09-17T14:50:34Z-
dc.date.available2013-09-17T14:50:34Z-
dc.date.issued2013en_US
dc.identifier.citationThe IEEE/ACM 21st International Symposium on Quality of Service (IWQoS 2013), Montreal, QC., 3-4 June 2013. In International Workshop on Quality of Service, 2013, p. 1-10en_US
dc.identifier.isbn978-1-4799-0590-4-
dc.identifier.issn1548-615X-
dc.identifier.urihttp://hdl.handle.net/10722/189640-
dc.description.abstractWith virtual machines (VM), we design a cloud system aiming to optimize the overall performance, in processing user requests made up of composite services. We address three contributions. (1) We optimize VM resource allocation with a minimized processing overhead subject to task's payment budget. (2) For maximizing the fairness of treatment in a competitive situation, we investigate the best-suited scheduling policy. (3) We devise a resource sharing scheme adjusted based on Proportional-Share model, further mitigating the resource contention. Experiments confirm two points: (1) mean task response time approaches the theoretically optimal value in non-competitive situation; (2) as system runs in short supply, each request could still be processed efficiently as compared to their ideal results. Combining Lightest Workload First (LWF) policy with Adjusted Proportional-Share Model (LWF+APSM) exhibits the best performance. It outperforms others in a competitive situation, by 38% w.r.t. worst-case response time and by 12% w.r.t. fairness of treatment. © 2013 IEEE.-
dc.languageengen_US
dc.publisherInstitute of Electrical and Electronics Engineers. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000600-
dc.relation.ispartofInternational Workshop on Quality of Serviceen_US
dc.rightsInternational Workshop on Quality of Service. Copyright © Institute of Electrical and Electronics Engineers.-
dc.rights©2013 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.subjectComposite services-
dc.subjectProcessing overhead-
dc.subjectProportional-share-
dc.subjectResource contention-
dc.subjectResource sharing schemes-
dc.subjectScheduling policies-
dc.subjectVirtual machines-
dc.subjectWorst case response time-
dc.titleOptimization and stabilization of composite service processing in a cloud systemen_US
dc.typeConference_Paperen_US
dc.identifier.emailWang, CL: clwang@cs.hku.hken_US
dc.identifier.authorityWang, CL=rp00183en_US
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/IWQoS.2013.6550263-
dc.identifier.scopuseid_2-s2.0-84881341220-
dc.identifier.hkuros223374en_US
dc.identifier.spage1-
dc.identifier.epage10-
dc.publisher.placeUnited Statesen_US
dc.customcontrol.immutablesml 131025-

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